The Quil Compiler¶
Expectations for Program Contents¶
The QPUs have much more limited natural gate sets than the standard gate set offered by pyQuil: on Rigetti QPUs, the
gate operators are constrained to lie in
CZ; and the
gates are required to act on physically available hardware (for single-qubit gates, this means
acting only on live qubits, and for qubit-pair gates, this means acting on neighboring qubits). However, as a programmer, it is often (though not always) desirable to to be able to write programs which don’t take these details into account. This generally leads to more portable code if one isn’t tied to a specific set of gates or QPU architecture.
To ameliorate these limitations, the Rigetti software toolkit contains an optimizing compiler that
translates arbitrary Quil to native Quil and native Quil to executables suitable for Rigetti
Interacting with the Compiler¶
After downloading the SDK, the Quil Compiler,
quilc is available on your local machine.
You can initialize a local
quilc server by typing
quilc -S into your terminal. You should see the following message.
$ quilc -S +-----------------+ | W E L C O M E | | T O T H E | | R I G E T T I | | Q U I L | | C O M P I L E R | +-----------------+ Copyright (c) 2018 Rigetti Computing. ... - Launching quilc. ... - Spawning server at (tcp://*:5555) .
To get a description of
quilc and its options and examples of command line use, see the quilc README or type
man quilc in your terminal.
QuantumComputer object supplied by the function
pyquil.api.get_qc() comes equipped with a
connection to your local Rigetti Quil compiler. This can be accessed using the instance method
as in the following:
from pyquil.quil import Pragma, Program from pyquil.api import get_qc from pyquil.gates import CNOT, H qc = get_qc("9q-square-qvm") ep = qc.compile(Program(H(0), CNOT(0,1), CNOT(1,2))) print(ep.program) # here ep is of type PyquilExecutableResponse, which is not always inspectable
RZ(pi/2) 0 RX(pi/2) 0 RZ(-pi/2) 1 RX(pi/2) 1 CZ 1 0 RX(-pi/2) 1 RZ(-pi/2) 2 RX(pi/2) 2 CZ 2 1 RZ(-pi/2) 0 RZ(-pi/2) 1 RX(-pi/2) 2 RZ(pi/2) 2
The compiler connection is also available directly via the property
precise class of this object changes based on context (e.g.,
QVMCompiler), but it always conforms to the interface laid out by
compiler.quil_to_native_quil(program, *, protoquil): This method converts a Quil program into native Quil, according to the ISA that the compiler is initialized with. The input parameter is specified as a
Programobject. The optional
protoquilkeyword argument instructs the compiler to restrict both its input and output to protoquil (Quil code that can be executed on a QPU). If the server is started with the
-Poption, or you specify
Programobject will be equipped with a
.metadataproperty that gives extraneous information about the compilation output (e.g., gate depth, as well as many others). This call blocks until Quil compilation finishes.
compiler.native_quil_to_executable(nq_program): This method converts a native Quil program, which is promised to consist only of native gates for a given ISA, into an executable suitable for submission to one of a QVM or a QPU. This call blocks until the executable is generated.
The instance method
qc.compile described above is a combination of these two methods: first the
incoming Quil is nativized, and then that is immediately turned into an executable. Accordingly,
the previous example snippet is identical to the following:
from pyquil.quil import Pragma, Program from pyquil.api import get_qc from pyquil.gates import CNOT, H qc = get_qc("9q-square-qvm") p = Program(H(0), CNOT(0,1), CNOT(1,2)) np = qc.compiler.quil_to_native_quil(p, protoquil=True) print(np.metadata) ep = qc.compiler.native_quil_to_executable(np) print(ep.program) # here ep is of type PyquilExecutableResponse, which is not always inspectable
Legal compiler input¶
The QPU is not able to execute all possible Quil programs. At present, a Quil program qualifies for execution if has the following form:
- The program may or may not begin with a
RESETinstruction. (If provided, the QPU will actively reset the state of the quantum device to the ground state before program execution. If omitted, the QPU will wait for a relaxation period to pass before program execution instead.)
- This is then followed by a block of native quantum gates. A gate is native if it is of the form
RZ(θ)for any value
RX(k*π/2)for an integer
CZ q0 q1for
q1a pair of qubits participating in a qubit-qubit interaction.
- This is then followed by a block of
To instruct the compiler to produce Quil code that can be executed on a QPU, you can use the
protoquil keyword in a call to compiler.quil_to_native_quil(program, protoquil=True) or
If your compiler server is started with the protoquil option
-P (as is the case for your QMI
compiler) then specifying
protoquil=False will override the server and force disable
protoquil=None defers to the server.
When your compiler is started with the
-P option, the
will return both the compiled program and a dictionary of statistics for the compiled program. This
dictionary contains the keys
final_rewiring: see section below on rewirings.
gate_depth: the longest subsequence of compiled instructions whereadjaction instructions share resources.
gate_depthbut restricted to multi-qubit gates.
gate_volume: total number of gates in the compiled program.
program_duration: program duration with parallel executation of gates (using hard-coded values of individual gate durations).
qpu_runtime_estimation: estimated runtime on a Rigetti QPU (in milliseconds). This is extrapolated from a single shot of a 16Q program with final measurements on all 16 qubits. If you are running a parametric program then you should estimate the total runtime as
size of parameter space * estimated runtime of single shot. This should be treated only as an approximation.
program_fidelity: the estimated fidelity of the compiled program.
topological_swaps: the number of topological swaps incurred during compilation of the program.
For example, to inspect the
qpu_runtime_estimation you might do the following:
from pyquil import get_qc, Program # If you have a reserved lattice, use it here qc = get_qc("Aspen-4-4Q-A") # Otherwise use a QVM # qc = get_qc("8q-qvm") # Likely you will have a more complex program: p = Program("RX(pi) 0") native_p = qc.compiler.quil_to_native_quil(p) # The program will now have only native gates print(native_p) # And also a dictionary, with the above keys print(native_p.native_quil_metadata["qpu_runtime_estimation"])
Region-specific compiler features through PRAGMA¶
The Quil compiler can also be communicated with through
PRAGMA commands embedded in the Quil
The interface to the Quil compiler from pyQuil is under construction, and some of the
PRAGMA directives will soon be replaced by finer-grained method calls.
The compiler can be circumvented in user-specified regions. The start of such a region is denoted by
PRAGMA PRESERVE_BLOCK, and the end is denoted by
PRAGMA END_PRESERVE_BLOCK. The Quil
compiler promises not to modify any instructions contained in such a region.
If a preserved block is not legal QPU input, then it is not guaranteed to execute or it may produced unexpected results.
The following is an example of a program that prepares a Bell state on qubits 0 and 1, then performs
a time delay to invite noisy system interaction before measuring the qubits. The time delay region
is marked by
PRAGMA PRESERVE_BLOCK and
PRAGMA END_PRESERVE_BLOCK; without these delimiters,
the compiler will remove the identity gates that serve to provide the time delay. However, the
regions outside of the
PRAGMA region will still be compiled, converting the Bell state preparation
to the native gate set.
DECLARE ro BIT # prepare a Bell state H 0 CNOT 0 1 # wait a while PRAGMA PRESERVE_BLOCK I 0 I 1 I 0 I 1 # ... I 0 I 1 PRAGMA END_PRESERVE_BLOCK # and read out the results MEASURE 0 ro MEASURE 1 ro
The compiler can sometimes arrange gate sequences more cleverly if the user gives it hints about
sequences of gates that commute. A region containing commuting sequences is bookended by
PRAGMA COMMUTING_BLOCKS and
PRAGMA END_COMMUTING_BLOCKS; within such a region, a given
commuting sequence is bookended by
PRAGMA BLOCK and
Lying to the compiler about what blocks can commute can cause incorrect results.
The following snippet demonstrates this hinting syntax in a context typical of VQE-type algorithms: after a first stage of performing some state preparation on individual qubits, there is a second stage of “mixing operations” that both re-use qubit resources and mutually commute, followed by a final rotation and measurement. The following program is naturally laid out on a ring with vertices (read either clockwise or counterclockwise) as 0, 1, 2, 3. After scheduling the first round of preparation gates, the compiler will use the hinting to schedule the first and third blocks (which utilize qubit pairs 0-1 and 2-3) before the second and fourth blocks (which utilize qubit pairs 1-2 and 0-3), resulting in a reduction in circuit depth by one half. Without hinting, the compiler will instead execute the blocks in their written order.
DECLARE ro BIT # Stage one H 0 H 1 H 2 H 3 # Stage two PRAGMA COMMUTING_BLOCKS PRAGMA BLOCK CNOT 0 1 RZ(0.4) 1 CNOT 0 1 PRAGMA END_BLOCK PRAGMA BLOCK CNOT 1 2 RZ(0.6) 2 CNOT 1 2 PRAGMA END_BLOCK PRAGMA BLOCK CNOT 2 3 RZ(0.8) 3 CNOT 2 3 PRAGMA END_BLOCK PRAGMA BLOCK CNOT 0 3 RZ(0.9) 3 CNOT 0 3 PRAGMA END_BLOCK PRAGMA END_COMMUTING_BLOCKS # Stage three H 0 H 1 H 2 H 3 MEASURE 0 ro MEASURE 1 ro MEASURE 2 ro MEASURE 3 ro
When a Quil program contains multi-qubit instructions that do not name qubit-qubit links present on a
target device, the compiler will rearrange the qubits so that execution becomes possible. In order to
help the user understand what rearrangement may have been done, the compiler emits comments at various
points in the raw Quil code (which is not currently visible from a pyQuil
# Entering rewiring and
# Exiting rewiring. From the perspective of the user, both
comments serve the same purpose:
# Entering rewiring: #(n0 n1 ... nk) indicates that the logical
j in the program has been assigned to lie on the physical qubit labeled
the device. This is strictly for human-readability: these comments are discarded and have no effect.
In addition, you have some control over how the compiler constructs its
rewiring, which is controlled by
PRAGMA INITIAL_REWIRING. The syntax is as follows.
# <type> can be NAIVE, RANDOM, PARTIAL, or GREEDY # # The double quotes are required. PRAGMA INITIAL_REWIRING "<type>"
Including this before any non-pragmas will allow the compiler to alter its rewiring behavior. The possible options are:
NAIVE(default): The compiler will start with an identity mapping as the initial rewiring. In particular, qubits will not be rewired unless the program requests a qubit-qubit interaction not natively available on the QPU.
PARTIAL: The compiler will start with nothing assigned to each physical qubit. Then, it will fill in the logical-to-physical mapping as it encounters new qubits in the program, making its best guess for where they should be placed.
RANDOM: the compiler will start with a random permutation.
GREEDY: the compiler will make a guess for the initial rewiring based on a quick initial scan of the entire program.
NAIVE rewiring is the default, and for the most part, it
follows the “Do What I Mean” (DWIM) principle. It is the least
sophisticated, but attempts to follow what the user has constructed
with their program. Choosing another rewiring, such as
may lead to higher-performing programs because the compiler has
more freedom to optimize the layout of the gates on the qubits.
Common Error Messages¶
The compiler itself is subject to some limitations, and some of the more commonly observed errors follow:
! ! ! Error: Matrices do not lie in the same projective class.The compiler attempted to decompose an operator as native Quil instructions, and the resulting instructions do not match the original operator. This can happen when the original operator is not a unitary matrix, and could indicate an invalid
DEFGATEblock. In some rare circumstances, it can also happen due to floating point precision issues.